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Senior Data Engineer

Retelligence
Posted 7 hours ago, valid for 4 days
Location

London, Greater London N5 2XE, England

Salary

£75,000 - £90,000 per annum

Contract type

Full Time

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Sonic Summary

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  • Retelligence is looking for a Senior Data Engineer to join their team in North London, offering a salary between £75,000 and £90,000 per annum plus bonuses.
  • The ideal candidate should have strong expertise in SQL and experience in building and managing real-time data pipelines in a Google Cloud Platform (GCP) environment.
  • Key responsibilities include designing and maintaining scalable data pipelines, integrating multiple data sources, and ensuring data quality and security.
  • Candidates should have hands-on experience with Python, familiarity with distributed streaming platforms like Kafka, and knowledge of data orchestration tools.
  • The company values innovation and offers opportunities for professional development and career progression.

Senior Data Engineer

Salary/Rate: £75,000 - £90,000 per annum + Bonus

Location: North London

Company: Retelligence

About Retelligence

Retelligence is partnering with a high-growth, forward-thinking organization that specializes in digital innovation and marketing across international markets. The company is on an exciting journey, rapidly scaling its capabilities and leveraging advanced technology to deliver cutting-edge solutions. Join a dynamic team within a business that values innovation, supports professional development, and offers exceptional career progression.

The Role

Retelligence is seeking a Senior Data Engineer to design and deliver robust, real-time data pipelines and infrastructure in a Google Cloud Platform (GCP) environment. The company is particularly interested in candidates with strong expertise in SQL.

Key Responsibilities:

  • Design, develop, and maintain scalable, data pipelines and infrastructure in a GCP environment.

  • Integrate multiple data sources to ensure seamless real-time data flow across the organization.

  • Build and optimize data models for querying and analytics use cases.

  • Develop fault-tolerant, highly available data ingestion and processing pipelines.

  • Continuously monitor and improve pipeline performance for low-latency and high-throughput operations.

  • Ensure data quality, integrity, and security across all systems.

  • Implement effective monitoring, logging, and alerting mechanisms.

About You

  • Strong hands-on experience in data engineering with expertise in Python.

  • Proven track record of building and managing real-time data pipelines.

  • In-depth experience with Google Cloud Platform (GCP) and its associated tools for data ingestion and processing.

  • Familiarity with distributed streaming platforms such as Kafka or similar technologies.

  • Advanced knowledge of SQL.

  • Experience with data orchestration tools.

  • Ability to optimize and refactor data pipelines for improved performance and scalability.

  • Strong problem-solving skills and the ability to thrive in a collaborative, fast-paced environment

Apply now in a few quick clicks

By applying, a CV-Library account will be created for you. CV-Library's Terms & Conditions and Privacy Policy will apply.

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